Title: Integrated KL (K-means – Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations
Abstract:Previous chapter Next chapter Full AccessProceedings Proceedings of the 2009 SIAM International Conference on Data Mining (SDM)Integrated KL (K-means – Laplacian) Clustering: A New Clustering Approach...Previous chapter Next chapter Full AccessProceedings Proceedings of the 2009 SIAM International Conference on Data Mining (SDM)Integrated KL (K-means – Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise RelationsFei Wang, Chris Ding, and Tao LiFei Wang, Chris Ding, and Tao Lipp.38 - 48Chapter DOI:https://doi.org/10.1137/1.9781611972795.4PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) between data objects. Traditional clustering algorithms use either data attributes only or pairwise similarity only. We propose to combine K-means clustering on data attributes and normalized cut spectral clustering on pairwise relations. We show that these two methods can be coherently integrated together to make use of different data sources to obtain good clustering results. We also show that our integrated KL (K-means – Laplacian) clustering method can be naturally extended to semi-supervised clustering, data embedding and metric learning. Finally the experimental results on benchmark data sets are presented to show the effectiveness of our method. Previous chapter Next chapter RelatedDetails Published:2009ISBN:978-0-89871-682-5eISBN:978-1-61197-279-5 https://doi.org/10.1137/1.9781611972795Book Series Name:ProceedingsBook Code:PR133Book Pages:1-1244Read More
Publication Year: 2009
Publication Date: 2009-04-30
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 45
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot